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A n-Gated Recurrent Unit with review for answer selection
Neurocomputing, 2020Abstract Answer selection is one of the most important techniques in question answering applications since it can improve the user experience to a large extend. To achieve a better answer selection performance, a fundamental approach is to better understand the answers and questions.
Dongge Tang +4 more
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Fuzzy sets complement-based gated recurrent unit [PDF]
, 2021 Grant PID2019-108392GB-I00 funded by MCIN/AEI/10.13039/501100011033 and by Tracasa Instrumental and the Immigration Policy and Justice Department of the Government of Navarre.
Mikel Ferrero-Jaurrieta +5 more
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On Using Gated Recurrent Units for Nonlinear System Identification
2019 18th European Control Conference (ECC), 2019During recent years Deep Learning (DL) methods facilitated impressive progress on various fields of research: Deep Convolutional Neural Networks (CNN) enabled object classification with to this day unmatched precision, while state of the art results in speech recognition and natural language processing (NLP) were achieved via gated units such as the ...
Alexander Rehmer, Andreas Kroll
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Faster Gated Recurrent Units via Conditional Computation
2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016In this work, we apply the idea of conditional computation to the gated recurrent unit (GRU), a type of recurrent activation function. With slight modifications to the GRU, the number of floating point operations required to calculate the feed-forward pass through the network may be significantly reduced.
Andrew S. Davis, Itamar Arel
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Text Implication Recognition Learning with Gated Recurrent Unit
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018As an important basic task in natural language processing, textual entailment recognition has practical applications in QA, information retrieval IR, information extraction and many other tasks. The traditional methods of text imputation include mainly classification methods based on artificial features, methods based on word similarity, and so on ...
Guo Xianjing, Yong Li 0037
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Applying gated recurrent units pproaches for workload prediction
NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018Resource scheduling is a key technology of cloud computing. In order to manage the resources in cloud efficiently, it is necessary to use workload prediction techniques for resource management. There are some workload's prediction algorithms for this problem, but they all have problems with accuracy and computational efficiency.
Yanghu Guo, Wenbin Yao
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Sentiment Analysis with Tree-Structured Gated Recurrent Units
2017Advances in neural network models and deep learning mark great impact on sentiment analysis, where models based on recursive or convolutional neural networks show state-of-the-art results leaving behind non-neural models like SVM or traditional lexicon-based approaches.
Marcin Kuta +2 more
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Drone Classification Using Gated Recurrent Unit
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, 2023Natthaphon Nakngoen +5 more
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Output-Gate Projected Gated Recurrent Unit for Speech Recognition
Interspeech 2018, 2018Gaofeng Cheng +5 more
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